用于文本检测的彩色图像分割性能分析

Naicy Joseph, Philomina Simon
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引用次数: 0

摘要

自然场景图像和视频文本自动检测与提取系统由于在信息检索的各个领域有着广泛的应用而受到了广泛的关注。文献中已经提出了许多解决文本检测问题的算法。文本字符的颜色均匀性是基于颜色的文本定位方法的重要特征之一。基于颜色的文本定位方法的前一步是根据颜色将图像划分为不同的部分。本文讨论了文本检测中不同彩色图像分割方法的性能分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of color image segmentation for text detection
Automatic text detection and extraction systems for natural scene images and videos have gained wide attention due to its immense applications in various fields of information retrieval. Many algorithms have been proposed in literature which addresses the problem of text detection. The color uniformity of text characters is one of the strong features which is used in color based text localisation methods. The prior step in the color based text localization methods is to partition the image into different segments based on the color. This paper discusses the performance analysis of different color image segmentation methods for text detection.
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